Política de la legislación laboral en el sur de China. Las cámaras de comercio y otros organismos extranjeros ante las leyes sobre negociación colectiva

En 2010, tras la huelga en Honda, hubo protestas laborales en toda China. Los gobiernos de Shenzhen y Guangdong reaccionaron desempolvando los proyectos de Decreto sobre consulta colectiva y de Normativa sobre gestión democrática de las empresas, retirados con anterioridad. Pero tras la oposición frontal de cámaras de comercio y organismos gubernamentales extranjeros, hongkoneses y taiwaneses, volvieron a retirarse. Mediante entrevistas, los autores revelan los medios de influencia en la legislación laboral china de estos actores, cuyas actitudes dependen de la posición de las empresas representadas en las cadenas mundiales de producción y del modelo de relaciones laborales de su país o territorio de origen.     

Forecasting the term structures of Treasury and corporate yields using dynamic Nelson-Siegel models

We extend Diebold and Li’s dynamic Nelson-Siegel three-factor model to a broader empirical prospective by including the evaluation of the state space approach and by using nine different ratings for corporate bonds. We find that the dynamic Nelson-Siegel factor AR(1) model outperforms other competitors on the out-of-sample forecast accuracy, especially on the investment-grade bonds for the short-term forecast horizon and on the high-yield bonds for the long-term forecast horizon. The dynamic Nelson-Siegel factor state space model, however, becomes appealing on the high-yield bonds in the short-term forecast horizon, where the factor dynamics are more likely time-varying and parameter instability is more probable in the model specification.     

The general dynamic factor model: One-sided representation results

Recent dynamic factor models have been almost exclusively developed under the assumption that the common components span a finite-dimensional vector space. However, this finite-dimension assumption rules out very simple factor-loading patterns and is therefore severely restrictive. The general case has been studied, using a frequency domain approach, in Forni et al. (2000). That paper produces an estimator of the common components that is consistent but is based on filters that are two-sided and therefore unsuitable for prediction. The present paper, assuming a rational spectral density for the common components, obtains a one-sided estimator without the finite-dimension assumption.     

Exporting, linkages and productivity spillovers from foreign direct investment

Abstract.  In this paper we analyse productivity spillovers from foreign direct investment using firm-level panel data for U.K. manufacturing industries from 1992 to 1999. We investigate spillovers through horizontal, backward, and forward linkages; distinguish spillovers from export-oriented vs domestic-market-oriented FDI; and allow for differing effects, depending on domestic firms' export activities. The results suggest that the mechanisms through which spillovers affect domestic firms are very complex and that there are substantial differences in spillover benefits for domestic exporters and non-exporters, and from different types of inward investment.     

Predator or prey?: Parasitic enterprises in economic development

In many developing and transition economies Mafia-like activities are rampant. Extortion and other forms of predation lower profitability in private businesses and distort investment incentives. Incorporated in a model of industrialization, bimodal club convergence may result. Economies may get stuck in a Predators’ Club characterized by a vicious cycle of poverty and predation. Societies with a low flow of new entrepreneurs are especially vulnerable to predation and never get out of this club. Poor societies with a high flow of new entrepreneurs, however, may grow out of the trap and join the rich Producers’ Club.     

Gender,productive ability and the perceived returns to education: Evidence from rural India

Recent research has established the importance of perceived (as opposed to actual) returns as a determinant of educational investments. We analyze data from India to highlight gender disparities in the perceived returns to education and the salience of productive characteristics.     

Can we reject linearity in an HAR-RV model for the S&P 500? Insights from a nonparametric HAR-RV

This article tests the linearity assumption underlying the popular heterogeneous autoregressive model for realized volatility (HAR-RV). We implement a consistent model specification test that is robust to both distributional and model misspecification. We find that, using a nonparametric HAR-RV (NPHAR-RV), we are unable to reject the null of linearity.     

The signaling power of trade protection

This paper proposes an empirical analysis to provide new insight into the trade diversion effects of antidumping (AD) policy. Trade diversion is the shift in trade from named countries in an AD investigation to non-named countries. Previous studies have concluded that AD action causes a considerable drop in exports from named countries, however the extent to which trade is diverted to non-named countries is still an open debate. This paper examines to see whether AD action on named countries can have signaling effects on non-named countries. To examine the trade effects on non-named countries, a time series data at an 8-digit product level is constructed for all cases initiated between 1997 and 2003 in the European Union. The paper provides evidence that antidumping policy has signaling effects on non-named imports.     

Probability theory in fuzzy sample spaces

This paper tries to develop a neat and comprehensive probability theory for sample spaces where the events are fuzzy subsets of The investigations are focussed on the discussion how to equip those sample spaces with suitable -algebras and metrics. In the end we can point out a unified concept of random elements in the sample spaces under consideration which is linked with compatible metrics to express random errors. The result is supported by presenting a strong law of large numbers, a central limit theorem and a Glivenko-Cantelli theorem for these kinds of random elements, formulated simultaneously w.r.t. the selected metrics. As a by-product the line of reasoning, which is followed within the paper, enables us to generalize as well as to bring together already known results and concepts from literature.Acknowledgement. The author would like to thank the participants of the 23rd Linz Seminar on Fuzzy Set Theory for the intensive discussion of the paper. Especially he is indebted to Professors Diamond and Höhle whose remarks have helped to get deeper insights into the subject. Additionally, the author is grateful to one anonymous referee for careful reading and valuable proposals which have led to an improvement of the first draft.This paper was presented at the 23rd Linz Seminar on Fuzzy Set Theory, Linz, Austria, February 5–9, 2002.     

基于约束变尺度法的资产负债数量指标优化研究

本文阐述非线性规划法--约束变尺度法来优化资产负债的数量指标,即贷款总额与证券额的优选比例值,以供决 策者参考。